def createEventFrequencyPlot(self, title, events, id = 0):
# Count the number of each event
eventFrequency = Collections.DefaultDict(lambda: 0)
for event in events:
eventFrequency[event.name] += 1
items = eventFrequency.items()
items.sort(key = lambda f: -f[1])
funcNames = [f[0] for f in items]
funcFreq = [f[1] for f in items]
# Create a bar charts and add a text describing the event to each bar
pylab.figure()
pylab.yticks([])
pylab.ylim(len(funcNames), 0)
rects = pylab.barh(range(len(funcNames)), funcFreq, color = self.primaryColor)
for name, rect in zip(funcNames, rects):
pylab.text(rect.get_x() + rect.get_width(), rect.get_y() + rect.get_height(), " " + name, fontsize = 8)
fn = os.path.join(self.path, title.lower().replace(" ", "_") + "%03d.png" % id)
pylab.savefig(fn)
pylab.close()
section = Report.Section(title)
section.create(Report.Image, fn)
return section
def createEventFrequencyPlot(self, title, events, id=0):
# Count the number of each event
eventFrequency = Collections.DefaultDict(lambda: 0)
for event in events:
eventFrequency[event.name] += 1
items = eventFrequency.items()
items.sort(key=lambda f: -f[1])
funcNames = [f[0] for f in items]
funcFreq = [f[1] for f in items]
# Create a bar charts and add a text describing the event to each bar
pylab.figure()
pylab.yticks([])
pylab.ylim(len(funcNames), 0)
rects = pylab.barh(range(len(funcNames)),
funcFreq,
color=self.primaryColor)
for name, rect in zip(funcNames, rects):
pylab.text(rect.get_x() + rect.get_width(),
rect.get_y() + rect.get_height(),
" " + name,
fontsize=8)
fn = os.path.join(self.path,
title.lower().replace(" ", "_") + "%03d.png" % id)
pylab.savefig(fn)
pylab.close()
section = Report.Section(title)
section.create(Report.Image, fn)
return section
def createEventPlot(self, title, events, sliceStart = 0.0, sliceLength = 10.0, id = 0):
# See if there's anything to plot
if not len(events) >= 2:
return
segmentDuration = (events[-1].time - events[0].time) / 1e6
if segmentDuration < sliceLength:
sliceLength = events[0].time / 1e6 + segmentDuration
segmentStart = sliceStart
slices = int(segmentDuration / sliceLength) + 2
pylab.figure(figsize = (8, slices * 1))
pylab.subplot(slices, 1, 1)
pylab.xlim(sliceStart, sliceStart + sliceLength)
pylab.yticks([])
legends = {}
for event in events:
time = event.time / 1e6
duration = event.duration / 1e6
if time + duration > sliceStart + sliceLength:
pylab.subplot(slices, 1, int((time - segmentStart) / sliceLength) + 1)
pylab.xticks(size = 7)
pylab.yticks([])
sliceStart += sliceLength
pylab.xlim(sliceStart, sliceStart + sliceLength)
func = self.library.functions[event.name]
if func.isFrameMarker:
color = self.highlightColor
label = "frameswap"
elif func.isRenderCall:
color = self.primaryColor
label = "render"
else:
continue
legends[label] = pylab.axvspan(time, time + max(sliceLength / 100.0, duration), facecolor = color, linewidth = .1, label = label)
# Describe the chart elements
l1 = []
l2 = []
if "render" in legends:
l1.append(legends["render"])
l2.append("Render call")
if "frameswap" in legends:
l1.append(legends["frameswap"])
l2.append("Frame swap")
pylab.legend(l1, l2)
fn = os.path.join(self.path, title.lower().replace(" ", "_") + "%03d.png" % id)
pylab.savefig(fn)
pylab.close()
section = Report.Section(title)
section.create(Report.Image, fn)
return section
def createEventPlot(self,
title,
events,
sliceStart=0.0,
sliceLength=10.0,
id=0):
# See if there's anything to plot
if not len(events) >= 2:
return
segmentDuration = (events[-1].time - events[0].time) / 1e6
if segmentDuration < sliceLength:
sliceLength = events[0].time / 1e6 + segmentDuration
segmentStart = sliceStart
slices = int(segmentDuration / sliceLength) + 2
pylab.figure(figsize=(8, slices * 1))
pylab.subplot(slices, 1, 1)
pylab.xlim(sliceStart, sliceStart + sliceLength)
pylab.yticks([])
legends = {}
for event in events:
time = event.time / 1e6
duration = event.duration / 1e6
if time + duration > sliceStart + sliceLength:
pylab.subplot(slices, 1,
int((time - segmentStart) / sliceLength) + 1)
pylab.xticks(size=7)
pylab.yticks([])
sliceStart += sliceLength
pylab.xlim(sliceStart, sliceStart + sliceLength)
func = self.library.functions[event.name]
if func.isFrameMarker:
color = self.highlightColor
label = "frameswap"
elif func.isRenderCall:
color = self.primaryColor
label = "render"
else:
continue
legends[label] = pylab.axvspan(time,
time +
max(sliceLength / 100.0, duration),
facecolor=color,
linewidth=.1,
label=label)
# Describe the chart elements
l1 = []
l2 = []
if "render" in legends:
l1.append(legends["render"])
l2.append("Render call")
if "frameswap" in legends:
l1.append(legends["frameswap"])
l2.append("Frame swap")
pylab.legend(l1, l2)
fn = os.path.join(self.path,
title.lower().replace(" ", "_") + "%03d.png" % id)
pylab.savefig(fn)
pylab.close()
section = Report.Section(title)
section.create(Report.Image, fn)
return section